CAE Inc. - Junior Machine Learning Engineer

Open job
AI Developer
💰 Negotiable
📍 Orlando, United States
Closing date: a month left
Twine Jobs Twine
Based in Manchester, United Kingdom
Last online 2 months ago

AI Developer is needed in Orlando, United States.

Client: CAE Inc.

Location: Orlando, FL

Contract: undefined

Job Description

We are seeking a skilled Machine Learning Engineer to join our growing AI & Data Science team in R&D. This role is ideal for someone passionate about solving complex problems using data-driven approaches and deploying scalable machine learning solutions in production environments. Additionally, this role will focus on designing scalable NLP systems powered by state-of-the-art transformer models, optimizing inference performance, and integrating LLMs into real-world products. You’ll collaborate with cross-functional teams to deliver intelligent, language-driven solutions that enhance user experience and business outcomes. This position is onsite with locations in Tampa FL, Arlington TX, or Orlando FL.

Requirements

Qualifications and Education Requirements:

  • Bachelor’s degree in Computer Science, Machine Learning, or a related field. Master’s degree is a plus.
  • 0–2 years of experience in software development or machine learning projects (internships or academic projects count).
  • Familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
  • Basic understanding of REST APIs and microservice architecture.
  • Exposure to MLOps tools and practices (e.g., MLflow, Airflow) is a plus.
  • Experience with Hugging Face Transformers, LangChain, or OpenAI APIs is beneficial but not required.
  • Comfortable working with cloud platforms (AWS, GCP, or Azure), Linux, and container tools like Docker.
  • Experience with SQL/NoSQL databases such as MySQL or MongoDB is a plus.
  • Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role.

Preferred Skills:

  • Exposure to deep learning, NLP, or computer vision through coursework or projects.
  • Interest in feature engineering and model interpretability.
  • Basic understanding of prompt engineering and optimization.
  • Familiarity with multi-modal models and distributed training concepts is a plus.
  • Experience with Git and CI/CD pipelines is helpful.
  • Ability to learn quickly and work in a collaborative, agile development environment.

Essential Duties and Responsibilities

  • Assist in the development and testing of machine learning models for real-world applications under the guidance of senior engineers.
  • Support the creation and maintenance of data pipelines and model training workflows using modern tools and frameworks.
  • Participate in model evaluation and validation, helping to analyze performance metrics and suggest improvements.
  • Help monitor deployed models and contribute to maintaining their reliability and accuracy.
  • Contribute to the fine-tuning and deployment of large language models (LLMs) for tasks such as summarization, question answering, and chatbots.
  • Learn and apply tools like ONNX, TensorRT, or vLLM to support efficient model serving.
  • Assist in implementing retrieval-augmented generation (RAG) pipelines using vector databases (e.g., FAISS, Pinecone).
  • Collaborate with team members to optimize model inference for performance and cost.
  • Work closely with cross-functional teams to understand project requirements and contribute to ML solutions.
  • Stay informed about emerging trends and technologies in machine learning and AI.
  • Document work, including model development and evaluation processes, for reproducibility and team knowledge sharing.

Security Responsibilities

Must comply with all company security and data protection/usage policies and procedures. Personally responsible for proper marking and handling of all information and materials, in any form. Shall not divulge any information, or afford access, to other employees not having a need-to-know. Shall not divulge information outside the company without management approval. All government and proprietary information will be accessed and stored electronically on company provided resources.

  • Incumbent must be eligible for DoD Personal Security Clearance.

Work Environment and Physical Demands

  • Duties performed in an office environment and manufacturing facility.
  • Must be able to work overtime on and off-shifts as required.
  • May be required to sit down for long lengths of time.
  • May be required to climb stairs.

Other Information

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for their job. Duties, responsibilities, and activities may change at any time with or without notice.

CAE USA Inc. is an equal opportunity employer, and all qualified applicants will be considered for employment without regard to any protected characteristic, including disability and protected veteran status, as defined under federal, state, or local laws.

Posted 3 days ago

  • Apply


    Enter your email to apply

     

    By applying, you agree to our Terms.

    Already have an account? Sign in.

  • How It Works


    🔍

    Get quality leads

    Review job leads for free, filter by local or global clients, and get real time notifications for new opportunities.


    🎉

    Apply with ease

    Pick the best leads, unlock contact details, and apply effortlessly with Twine's AI application tools.


    📈

    Grow your career

    Showcase your work, pitch to the best leads, land new clients and use Twine’s tools to find more opportunities.